Distributed and Cluster Computing

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Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach
Nguyen Quang Hieu, Tran The Anh, Nguyen Cong Luong +3
cs.LGcs.DCcs.NIarXiv:2004.04104v22020
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Yue Tan, Yixin Liu, Guodong Long +3
cs.LGcs.AIcs.DCarXiv:2211.13009v12022
Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM Decode
Josef Chen
cs.ARcs.AIcs.DCarXiv:2605.30571v12026
OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization
Zhongzhu Zhou, Donglin Zhuang, Jisen Li +4
cs.LGcs.AIcs.DCarXiv:2605.17757v12026
Efficient Training on Multiple Consumer GPUs with RoundPipe
Yibin Luo, Shiwei Gao, Huichuan Zheng +2
cs.DCcs.AIcs.LGarXiv:2604.27085v12026
Latency-Aware Orchestration for Multi-Agent LLM Workflows on Heterogeneous GPUs
Jinghao Wang, Yifeng Zhang, Xiao Zhou +7
cs.DCarXiv:2609.03335v12026
VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
Qianli Ma, Yaowei Zheng, Zhelun Shi +9
cs.CLcs.AIcs.DCarXiv:2508.02317v32025
Quantum Supremacy Is Both Closer and Farther than It Appears
Igor L. Markov, Aneeqa Fatima, Sergei V. Isakov +1
quant-phcs.DCcs.ETarXiv:1807.10749v32018
Occupy the Cloud: Distributed Computing for the 99%
Eric Jonas, Qifan Pu, Shivaram Venkataraman +2
cs.DCarXiv:1702.04024v22017
SMCC-Empowered Digital Twins for Sensorless Monitoring in Large-Scale AI-Driven IoT Systems
Vincenzo Sammartino
cs.DCcs.CRcs.NIarXiv:2609.09161v12026
Large Language Model based air quality monitoring and localized alert generation
Ricardo Vieira, Luis Tavares, Kaylane Lima +5
cs.DCcs.CYarXiv:2609.17954v12026
Some Observations on Optimal Frequency Selection in DVFS-based Energy Consumption Minimization
Nikzad Babaii Rizvandi, Javid Taheri, Albert Y. Zomaya
cs.DCcs.PFarXiv:1201.1695v12012
BLADE: ReliaBle Dynamic Hardware-Aware SNN-ANN Boundary SeLection for Event-BAseD Object DEtection
Mahdi Taheri, Alwin Paul
cs.NEcs.AIcs.ARarXiv:2609.17562v12026
ASPIRE: Asynchronous Batched Self-Speculative Decoding for Long-Context LLM Inference
Amir Ziashahabi, Hossein Entezari Zarch, Lei Gao +2
cs.LGcs.CLcs.DCarXiv:2609.17943v12026
GroupKV: Hierarchical KV Cache Management for Long-Context Diffusion LLM Inference
Jinhao Wang, Zhexin Hu, Kangjie Zhou +2
cs.OScs.DCcs.LGarXiv:2609.17573v12026
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
Mohammad Goudarzi, Marimuthu Palaniswami, Rajkumar Buyya
cs.DCcs.LGarXiv:2110.12415v12021
From Token Interfaces to Token Semantics: A Formal Composition and Conformance Model for Implementation-Neutral Token Specifications
John deVadoss
cs.DCarXiv:2609.10547v12026
Hardware-Attributed Operator Profiling for PyTorch
Logan Chu, Dong Li
cs.ARcs.DCcs.PFarXiv:2609.11938v12026
One Simple Trick for Improving the Performance of Energy-Limited Local Inference and Training
Erik Schultheis, Maximilian Kleinegger, Dan Alistarh
cs.PFcs.DCcs.LGarXiv:2609.11936v12026
Byzantine Reliable Broadcast with Causal Ordering
Mariarosaria Barbaraci, Christian Cachin
cs.DCarXiv:2609.17074v12026
Adaptive AI: Energy Efficient Multi-exit TinyML on Intelligent Vision Systems at the Edge
Luca Crupi, Lorenzo Lamberti, Alessandro Giusti +1
cs.ARcs.CVcs.DCarXiv:2609.11939v12026
Design and Operation of a Federated GPU Cluster for Digital Humanities within DHinfra.at
Florian Atzenhofer-Baumgartner, David Fleischhacker, Max Resch +2
cs.DCarXiv:2609.10552v12026
HELIOS: Guardrailed LLM-Driven Evolution of Autonomous Resource Orchestration Policies for Multi-Cloud Distributed Systems
Guanyu Ding, Ying Wang
cs.DCarXiv:2609.09164v12026
TFR-GNN: Topology- and Fault-Aware Graph Neural Scheduling for Heterogeneous Distributed Computing Systems
Shiyu Yang, Ziyang Zeng, Jie-Si Yang
cs.DCarXiv:2609.09165v12026
Memory Profiling and Migration for Heterogeneous Memory Architectures
Marios Asiminakis, Polydoros Petrakis, Manolis Marazakis
cs.DCcs.PFarXiv:2609.10554v12026
PipeSwift: Revisiting Pipeline Parallelism for Large-Scale Completion-Oriented Agentic LLM Serving
Shiju Wang, Fei Ren, Fangcheng Fu +4
cs.DCarXiv:2609.16491v22026
A Case-Bundle Operating Model for Coding Agents in OpenFOAM-Based CFD
Ke Xiao, Han Li, Teng Zhang +3
cs.SEcs.CEcs.DCarXiv:2609.11941v12026
BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems
Yuxin Wang, Yuhan Chen, Zeyu Li +11
cs.DCcs.PFarXiv:2401.17644v52024
Asynchronous Parallel Search for Exact Multi-Objective Shortest Paths with Versioned Frontier Snapshots and Indexed Dominance Pruning
Xiaoqing Xu, Ning Zhang, Liuyihui Qian +3
cs.DCarXiv:2609.11944v12026
Hyperion: An AI-powered HPC cluster for sciences and humanities research that utilizes ML for predicting job turnaround time
Jun Zhou, Nathan Elgar, Tawnee Benedetto +5
cs.DCcs.LGarXiv:2609.11946v12026
DT-RAID: A Software-Defined Tiered RAID Architecture for Heterogeneous SSDs
Kun-Chi Chiang, Radu Stoica, Animesh Trivedi +5
cs.ARcs.DCarXiv:2609.16003v12026
LLMs or Naive Bayes? Old Gems or New Ways
Mohammad Firas Sada, Dmitry Mishin, John Graham +3
cs.LGcs.AIcs.CLarXiv:2609.13185v12026
Novel Iterative Construction Methods for the Blocking Job Shop Scheduling Problem
Adel Dabah, Karima Rihane, Hocine Saadi +4
cs.DCarXiv:2609.16007v12026
Co-Skill: A Collaborative Communication Framework for Skill Evolution
Yilin Ma, Yangi Pan, Weihao Yang +4
cs.DCarXiv:2609.16008v12026
DeepShare: Assurance-Driven Deep Learning Job Scheduling for Multi-Tenant Clusters
Jinghao Wang, Yihang Zhou, Xiao Zhou +5
cs.DCarXiv:2609.16682v12026
DS2-Based Cross-Data-Space Interoperability for Precision Agriculture
Katerina Kyriakou, Ilias Syrigos, Ioannis Moutsinas +2
cs.DCarXiv:2609.17185v12026
Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis
Bassel Soudan, Sohail Abbas, Ahmed Kubba +2
cs.DCcs.AIarXiv:2609.15681v12026
Intelligence per Watt: Measuring Intelligence Efficiency of Local AI
Jon Saad-Falcon, Avanika Narayan, Hakki Orhun Akengin +12
cs.DCcs.AIcs.CLarXiv:2511.07885v62025
RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation
Chao Jin, Zili Zhang, Xuanlin Jiang +4
cs.DCcs.CLcs.LGarXiv:2404.12457v22024
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks
César A. Uribe, Soomin Lee, Alexander Gasnikov +1
math.OCcs.DCcs.MAarXiv:1809.00710v32018
When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network
Shuai Yu, Xu Chen, Zhi Zhou +2
cs.NIcs.AIcs.DCarXiv:2009.10601v12020
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks
Guyue Huang, Guohao Dai, Yu Wang +1
cs.DCarXiv:2007.03179v12020
Survey of Consistent Software-Defined Network Updates
Klaus-Tycho Foerster, Stefan Schmid, Stefano Vissicchio
cs.NIcs.DCcs.DSarXiv:1609.02305v32016
An Oversubscription and Service Pricing Exploitation-Based Profit Maximization Framework for Industry Cloud Resource Management
Deepika Saxena, Ashutosh Kumar Singh
cs.DCarXiv:2608.25712v12026
Bitcoin Meets Strong Consistency
Christian Decker, Jochen Seidel, Roger Wattenhofer
cs.DCcs.CRarXiv:1412.7935v12014
Accelerating Distributed MoE Training and Inference with Lina
Jiamin Li, Yimin Jiang, Yibo Zhu +2
cs.DCarXiv:2210.17223v22022
EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks
Shengwen Liang, Ying Wang, Cheng Liu +3
cs.DCarXiv:1909.00155v32019
The Architectural Implications of Facebook's DNN-based Personalized Recommendation
Udit Gupta, Carole-Jean Wu, Xiaodong Wang +12
cs.DCcs.LGarXiv:1906.03109v42019
The Abstention Protocol: RCA for Clos Fabrics
Madhava Gaikwad, Deepak Pandey
cs.AIcs.DCcs.NIarXiv:2608.21412v12026
Global Simulation-Guided Dynamic Operator Scheduling for Efficient Multi-Tenant Model Serving
Weinan Liu, Zeyuan Ding, Dian Ding +5
cs.OScs.DCcs.LGarXiv:2608.15762v12026
Supporting Very Large Models using Automatic Dataflow Graph Partitioning
Minjie Wang, Chien-chin Huang, Jinyang Li
cs.DCcs.LGarXiv:1807.08887v22018
Privacy-Preserving Access of Outsourced Data via Oblivious RAM Simulation
Michael T. Goodrich, Michael Mitzenmacher
cs.DScs.CRcs.DCarXiv:1007.1259v22010
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale
Fan Lai, Yinwei Dai, Sanjay S. Singapuram +4
cs.LGcs.AIcs.DCarXiv:2105.11367v52021
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
Shashank Rajput, Hongyi Wang, Zachary Charles +1
cs.LGcs.DCstat.MLarXiv:1907.12205v22019
Arabesque: A System for Distributed Graph Mining - Extended version
Carlos H. C. Teixeira, Alexandre J. Fonseca, Marco Serafini +3
cs.DCarXiv:1510.04233v12015
A Technique for Load Shifting Low-latency Applications in Multi-Region Renewables Harvesting via SMT Core Pooling
Tharindu B. Hewage, Shashikant Ilager, Maria A. Rodriguez +1
cs.DCarXiv:2609.03297v12026
Carbon-aware Resource Management for Latency-Sensitive Cloud Computing Environments: A Taxonomy and Future Directions
Tharindu B. Hewage, Shashikant Ilager, Maria Rodriguez Read +1
cs.DCarXiv:2609.03270v12026
FlowTT: Exploiting Computation Flow Reuse in Irregular Tensor-Train Embedding
Jongmin Seok, Chae Eun Rhee
cs.DCcs.ARarXiv:2609.03459v12026
On Derandomizing Local Distributed Algorithms
Mohsen Ghaffari, David G. Harris, Fabian Kuhn
cs.DScs.DCarXiv:1711.02194v42017
Parallel resampling in the particle filter
Lawrence M. Murray, Anthony Lee, Pierre E. Jacob
stat.COcs.DCarXiv:1301.4019v32013

Distributed and Cluster Computing

Resource Management for Blockchain-enabled Federated Learning: A Deep Reinforcement Learning Approach

Federated Learning on Non-IID Graphs via Structural Knowledge Sharing

Memory-Bound but Not Bandwidth-Limited: The Physical AI Inference Gap in Batch-1 LLM Decode

OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization

Efficient Training on Multiple Consumer GPUs with RoundPipe

Latency-Aware Orchestration for Multi-Agent LLM Workflows on Heterogeneous GPUs

VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo

Quantum Supremacy Is Both Closer and Farther than It Appears

Occupy the Cloud: Distributed Computing for the 99%

SMCC-Empowered Digital Twins for Sensorless Monitoring in Large-Scale AI-Driven IoT Systems

Large Language Model based air quality monitoring and localized alert generation

Some Observations on Optimal Frequency Selection in DVFS-based Energy Consumption Minimization

BLADE: ReliaBle Dynamic Hardware-Aware SNN-ANN Boundary SeLection for Event-BAseD Object DEtection

ASPIRE: Asynchronous Batched Self-Speculative Decoding for Long-Context LLM Inference

GroupKV: Hierarchical KV Cache Management for Long-Context Diffusion LLM Inference

A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments

From Token Interfaces to Token Semantics: A Formal Composition and Conformance Model for Implementation-Neutral Token Specifications

Hardware-Attributed Operator Profiling for PyTorch

One Simple Trick for Improving the Performance of Energy-Limited Local Inference and Training

Byzantine Reliable Broadcast with Causal Ordering

Adaptive AI: Energy Efficient Multi-exit TinyML on Intelligent Vision Systems at the Edge

Design and Operation of a Federated GPU Cluster for Digital Humanities within DHinfra.at

HELIOS: Guardrailed LLM-Driven Evolution of Autonomous Resource Orchestration Policies for Multi-Cloud Distributed Systems

TFR-GNN: Topology- and Fault-Aware Graph Neural Scheduling for Heterogeneous Distributed Computing Systems

Memory Profiling and Migration for Heterogeneous Memory Architectures

PipeSwift: Revisiting Pipeline Parallelism for Large-Scale Completion-Oriented Agentic LLM Serving

A Case-Bundle Operating Model for Coding Agents in OpenFOAM-Based CFD

BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems

Asynchronous Parallel Search for Exact Multi-Objective Shortest Paths with Versioned Frontier Snapshots and Indexed Dominance Pruning

Hyperion: An AI-powered HPC cluster for sciences and humanities research that utilizes ML for predicting job turnaround time

DT-RAID: A Software-Defined Tiered RAID Architecture for Heterogeneous SSDs

LLMs or Naive Bayes? Old Gems or New Ways

Novel Iterative Construction Methods for the Blocking Job Shop Scheduling Problem

Co-Skill: A Collaborative Communication Framework for Skill Evolution

DeepShare: Assurance-Driven Deep Learning Job Scheduling for Multi-Tenant Clusters

DS2-Based Cross-Data-Space Interoperability for Precision Agriculture

Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis

Intelligence per Watt: Measuring Intelligence Efficiency of Local AI

RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation

A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks

When Deep Reinforcement Learning Meets Federated Learning: Intelligent Multi-Timescale Resource Management for Multi-access Edge Computing in 5G Ultra Dense Network

GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks

Survey of Consistent Software-Defined Network Updates

An Oversubscription and Service Pricing Exploitation-Based Profit Maximization Framework for Industry Cloud Resource Management

Bitcoin Meets Strong Consistency

Accelerating Distributed MoE Training and Inference with Lina

EnGN: A High-Throughput and Energy-Efficient Accelerator for Large Graph Neural Networks

The Architectural Implications of Facebook's DNN-based Personalized Recommendation

The Abstention Protocol: RCA for Clos Fabrics

Global Simulation-Guided Dynamic Operator Scheduling for Efficient Multi-Tenant Model Serving

Supporting Very Large Models using Automatic Dataflow Graph Partitioning

Privacy-Preserving Access of Outsourced Data via Oblivious RAM Simulation

FedScale: Benchmarking Model and System Performance of Federated Learning at Scale

DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation

Arabesque: A System for Distributed Graph Mining - Extended version

A Technique for Load Shifting Low-latency Applications in Multi-Region Renewables Harvesting via SMT Core Pooling

Carbon-aware Resource Management for Latency-Sensitive Cloud Computing Environments: A Taxonomy and Future Directions

FlowTT: Exploiting Computation Flow Reuse in Irregular Tensor-Train Embedding

On Derandomizing Local Distributed Algorithms

Parallel resampling in the particle filter